package xin.yangshuai.kafka01.producer;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;

import java.util.Properties;

public class CustomProducerParameters {

    public static void main(String[] args) {

        String connectString = "192.168.145.132:9092,192.168.145.133:9092,192.168.145.134:9092";

        // 0 配置
        Properties properties = new Properties();
        // 连接集群
        properties.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, connectString);
        // 指定key和value的序列化类型
        properties.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());
        properties.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class.getName());

        // 缓冲区大小  默认 32m
        properties.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 33554432);
        // 批次大小 默认 16k
        properties.put(ProducerConfig.BATCH_SIZE_CONFIG, 16384);
        // linger.ms 默认 0 ，1ms
        properties.put(ProducerConfig.LINGER_MS_CONFIG, 1);
        // 压缩 默认none，可配置值gzip、snappy、lz4和zstd
        properties.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "snappy");

        // 1 创建kafka生产者对象
        KafkaProducer<String, String> kafkaProducer = new KafkaProducer<>(properties);

        // 2 发送数据
        for (int i = 0; i < 5; i++) {
            // 普通异步发送
            kafkaProducer.send(new ProducerRecord<>("first", "send message set parameters-" + i));
        }

        // 3 关闭资源
        kafkaProducer.close();
    }
}
